| Summary: | 碩士 === 逢甲大學 === 經營管理碩士在職專班 === 103 === A tread of predicting a combination of standard automatic mechanical components becomes an important problem. Based on the association rule mining in data mining field, rules for a variation and a tread of the automatic mechanical components bought by a company are discovered. By the discovered rules, a factory which produces the automatic mechanical components can find its potential customers, and it may also predict and analyze the automatic mechanical components for preparing materials.
In the experiments of our thesis, mining software is used for discovering the association rules of a database of automatic mechanical components in three companies in 2014, and the mining results represents the associations among the automatic mechanical components sold at these three companies in 2014. For example, the fixed chock, the shaft coupling and the cantilever shaft may have strong relations between each other. Thus, with the information, the company may predict an overall arrangement and a futher development for the products of the automatic mechanical components.
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